Offline Stochastic Shortest Path: Learning, Evaluation and Towards
Optimality

Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality

10 June 2022

Ming Yin

Papers citing "Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality"

7 / 7 papers shown

Title
A Unified Algorithm for Stochastic Path Problems Christoph Dann Chen-Yu Wei Julian Zimmert 35 0 0 17 Oct 2022
Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path Liyu Chen Andrea Tirinzoni Matteo Pirotta A. Lazaric 31 3 0 10 Oct 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach Andrew Wagenmaker Yifang Chen Max Simchowitz S. Du Kevin G. Jamieson 73 36 0 07 Dec 2021
Learning Stochastic Shortest Path with Linear Function Approximation Steffen Czolbe Jiafan He Adrian V. Dalca Quanquan Gu 39 30 0 25 Oct 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 96 144 0 13 Jul 2021
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation Daniel Vial Advait Parulekar Sanjay Shakkottai R. Srikant 32 15 0 04 May 2021
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 38 181 0 22 Aug 2019